Using the Silhouette Coefficient for Representative Search of Team Tactics in Noisy Data

Friedemann Schwenkreis

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Paper

Using the Silhouette Coefficient for Representative Search of Team Tactics in Noisy Data

Topics: Neural Network Applications; Pattern Recognition

In Proceedings of the 11th International Conference on Data Science, Technology and Applications DATA - Volume 1, 193-202, 2022 , Lisbon, Portugal

Author: Friedemann Schwenkreis

Affiliation: Baden-Wuerttemberg Cooperative State University, Paulinenstr. 50, 70565 Stuttgart, Germany

Keyword(s): Data Science, Clustering, Team Handball, Tactics Recognition.

Abstract: Automatically recognizing team tactics based on spatiotemporal data is challenging. Deep Learning approaches have been proposed in this area but require a tremendous amount of manual work to create training and test data. This paper presents a clustering approach to reduce the needed manual effort significantly. A method is described to transform the spatiotemporal data into a canonical form that allows to efficiently apply clustering techniques. Since noise cannot be avoided in the given application context, the silhouette coefficient is applied to filter clusters considered to be noisy in a cluster technique independent way. Then, a variant of the silhouette coefficient is introduced as an indicator regarding the overall cluster model quality which allows to select the optimal clustering technique as well as the optimal set of cluster technique parameters for the given application context.

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Paper citation in several formats:

Schwenkreis, F. (2022). Using the Silhouette Coefficient for Representative Search of Team Tactics in Noisy Data. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 193-202. DOI: 10.5220/0011100600003269

@conference{data22,
author={Friedemann Schwenkreis.},
title={Using the Silhouette Coefficient for Representative Search of Team Tactics in Noisy Data},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA},
year={2022},
pages={193-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011100600003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - Using the Silhouette Coefficient for Representative Search of Team Tactics in Noisy Data
SN - 978-989-758-583-8
IS - 2184-285X
AU - Schwenkreis, F.
PY - 2022
SP - 193
EP - 202
DO - 10.5220/0011100600003269
PB - SciTePress